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Chenyuan Feng
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2020 – today
- 2024
- [c13]Chenyuan Feng, Zhenyu Feng, Qing Wang:
Recommendation Algorithm Based on Federated Multi-modal Learning. ICASSP Workshops 2024: 229-233 - [c12]Kun Ma, Chenyuan Feng, Giovanni Geraci, Howard H. Yang:
The Meta Distribution of the SIR in Joint Communication and Sensing Networks. ICC Workshops 2024: 691-696 - [i5]Kun Ma, Chenyuan Feng, Giovanni Geraci, Howard H. Yang:
The Meta Distribution of the SIR in Joint Communication and Sensing Networks. CoRR abs/2404.01672 (2024) - 2023
- [j9]Yucheng Chen
, Chenyuan Feng
, Daquan Feng
:
Privacy-Preserving Hierarchical Federated Recommendation Systems. IEEE Commun. Lett. 27(5): 1312-1316 (2023) - [j8]Biqian Feng
, Chenyuan Feng
, Daquan Feng
, Yongpeng Wu
, Xiang-Gen Xia
:
Proactive Content Caching Scheme in Urban Vehicular Networks. IEEE Trans. Commun. 71(7): 4165-4180 (2023) - [j7]Chenyuan Feng
, Howard H. Yang
, Siye Wang
, Zhongyuan Zhao
, Tony Q. S. Quek
:
Hybrid Learning: When Centralized Learning Meets Federated Learning in the Mobile Edge Computing Systems. IEEE Trans. Commun. 71(12): 7008-7022 (2023) - [j6]Chaoqun You
, Daquan Feng
, Kun Guo
, Howard H. Yang
, Chenyuan Feng
, Tony Q. S. Quek
:
Semi-Synchronous Personalized Federated Learning Over Mobile Edge Networks. IEEE Trans. Wirel. Commun. 22(4): 2262-2277 (2023) - [c11]Jiaxin Yang, Chenyuan Feng, Wenzhe Shi, Daquan Feng:
Dynamic Partition Caching and Replacement Scheme in the Internet of Vehicles. ICCT 2023: 1013-1018 - [c10]Yanzhe Hu, Chenyuan Feng, Wei Jiang, Wenzhe Shi, Daquan Feng:
Service Decision Mechanism Based On Traffic Flow Prediction in the Internet of Vehicles. ICCT 2023: 1036-1041 - [c9]Xinzhi Ouyang, Chenyuan Feng
, Daquan Feng, Howard H. Yang:
Privacy-Preserving Mobility-Aware Federated Collaborative Filtering Framework for Caching Prediction in Vehicular Networks. SECON 2023: 118-123 - [c8]Daquan Feng, Guanxin Huang, Chenyuan Feng, Bin Cao, Zhenzhong Wang, Xiang-Gen Xia:
EAPS: Edge-Assisted Privacy-Preserving Federated Prediction Systems. WCNC 2023: 1-6 - [i4]Biqian Feng, Chenyuan Feng, Daquan Feng, Yongpeng Wu, Xiang-Gen Xia:
Proactive Content Caching Scheme in Urban Vehicular Networks. CoRR abs/2305.07584 (2023) - [i3]Xiang Chen, Zhiheng Guo, Xijun Wang, Howard H. Yang, Chenyuan Feng, Junshen Su, Sihui Zheng, Tony Q. S. Quek
:
Foundation Model Based Native AI Framework in 6G with Cloud-Edge-End Collaboration. CoRR abs/2310.17471 (2023) - 2022
- [j5]Rong Cong
, Zhiwei Zhao
, Geyong Min
, Chenyuan Feng
, Yuhong Jiang
:
EdgeGO: A Mobile Resource-Sharing Framework for 6G Edge Computing in Massive IoT Systems. IEEE Internet Things J. 9(16): 14521-14529 (2022) - [j4]Zhongyuan Zhao
, Chenyuan Feng
, Wei Hong, Jiamo Jiang
, Chao Jia, Tony Q. S. Quek
, Mugen Peng
:
Federated Learning With Non-IID Data in Wireless Networks. IEEE Trans. Wirel. Commun. 21(3): 1927-1942 (2022) - [j3]Chenyuan Feng
, Howard H. Yang
, Deshun Hu
, Zhiwei Zhao
, Tony Q. S. Quek
, Geyong Min
:
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks. IEEE Trans. Wirel. Commun. 21(10): 8441-8458 (2022) - [c7]Shangyin Weng, Lei Zhang, Daquan Feng, Chenyuan Feng, Ruiyu Wang, Paulo Valente Klaine, Muhammad Ali Imran:
Privacy-Preserving Federated Learning based on Differential Privacy and Momentum Gradient Descent. IJCNN 2022: 1-6 - 2021
- [j2]Chenyuan Feng
, Zhongyuan Zhao
, Yidong Wang
, Tony Q. S. Quek
, Mugen Peng
:
On the Design of Federated Learning in the Mobile Edge Computing Systems. IEEE Trans. Commun. 69(9): 5902-5916 (2021) - [c6]Chenyuan Feng
, Howard H. Yang, Zihan Chen, Daquan Feng, Zhenzhong Wang, Tony Q. S. Quek
:
On the Convergence Rate of Federated Learning over Unreliable Networks. ComComAP 2021: 59-64 - [c5]Chenyuan Feng, Howard H. Yang, Deshun Hu
, Tony Q. S. Quek, Zhiwei Zhao, Geyong Min:
Federated Learning with User Mobility in Hierarchical Wireless Networks. GLOBECOM 2021: 1-6 - [c4]Jiayu Chen, Chenyuan Feng, Daquan Feng, Shan Meng:
Multi-Edge Computing Offloading for Ultra-Reliable and Low-Latency Communication. WCSP 2021: 1-6 - [i2]Chenyuan Feng, Howard H. Yang, Deshun Hu, Zhiwei Zhao, Tony Q. S. Quek, Geyong Min:
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks. CoRR abs/2108.09103 (2021) - 2020
- [j1]Zhongyuan Zhao, Chenyuan Feng
, Howard H. Yang, Xueting Luo:
Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends. IEEE Wirel. Commun. 27(2): 22-28 (2020) - [c3]Chenyuan Feng
, Yidong Wang, Zhongyuan Zhao, Tony Q. S. Quek
, Mugen Peng:
Joint Optimization of Data Sampling and User Selection for Federated Learning in the Mobile Edge Computing Systems. ICC Workshops 2020: 1-6
2010 – 2019
- 2019
- [c2]Chenyuan Feng
, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek:
Attention-based Graph Convolutional Network for Recommendation System. ICASSP 2019: 7560-7564 - 2017
- [c1]Chenyuan Feng, Yi Zhong, Tony Q. S. Quek, Gang Wu
:
Power control in full duplex networks: Area spectrum efficiency and energy efficency. ICC 2017: 1-6 - [i1]Chenyuan Feng, Yi Zhong, Tony Q. S. Quek, Gang Wu:
Power Control in Full Duplex Networks: Area Spectrum Efficiency and Energy Efficency. CoRR abs/1702.06872 (2017)
Coauthor Index
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last updated on 2024-09-05 23:43 CEST by the dblp team
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